John Moon

According to our database, John Moon authored at least 7 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

RACE-IT: A Reconfigurable Analog CAM-Crossbar Engine for In-Memory Transformer Acceleration.

Lei Zhao, Luca Buonanno, Ron M. Roth, Sergey Serebryakov, Archit Gajjar, John Moon, Jim Ignowski, Giacomo Pedretti

CoRR, 2023

X-TIME: An in-memory engine for accelerating machine learning on tabular data with CAMs.

Giacomo Pedretti, John Moon, Pedro Bruel, Sergey Serebryakov, Ron M. Roth, Luca Buonanno, Tobias Ziegler, Cong Xu, Martin Foltin, Paolo Faraboschi, Jim Ignowski, Catherine E. Graves

CoRR, 2023

Design Space Exploration of Analog CAM for Tree-Based Models.

Aishwarya Natarajan, Luca Buonanno, Todd Richmond, David Vickers, Xia Sheng, John Moon, Darrin Miller, Giacomo Pedretti, Catherine Graves, Jim Ignowski

Proceedings of the 66th IEEE International Midwest Symposium on Circuits and Systems, 2023

2021

Hierarchical architectures in reservoir computing systems.

John Moon, Yuting Wu, Wei D. Lu

Neuromorph. Comput. Eng., 2021

Hierarchical Architectures in Reservoir Computing Systems.

John Moon, Wei D. Lu

CoRR, 2021

Neural connectivity inference with spike-timing dependent plasticity network.

John Moon, Yuting Wu, Xiaojian Zhu, Wei D. Lu

Sci. China Inf. Sci., 2021

Neural Functional Connectivity Reconstruction with Second-Order Memristor Network.

Yuting Wu, John Moon, Xiaojian Zhu, Wei D. Lu

Adv. Intell. Syst., 2021